Showing 20 of 2,239 academic articles
Manish Kumar Mishra, Monika Srivastava • International Conference on Advances in Engineering & Technology Research
(2014)
In this paper, An Artificial Neural Network or ANN, its various characteristics and business applications. In this paper also show that “what are neural networks” and “Why they are so important in today's Artificial intelligence?” Because v...
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DOI: https://doi.org/10.1109/icaetr.2014.7012785
Sebastian Kujawa, Gniewko Niedbała • Agriculture
(2021)
Artificial neural networks are one of the most important elements of machine learning and artificial intelligence. They are inspired by the human brain structure and function as if they are based on interconnected nodes in which simple proc...
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DOI: https://doi.org/10.3390/agriculture11060497
Steven Walczak • Advances in computer and electrical engineering book series
(2018)
This chapter examines the history of artificial neural networks research through the present day. The components of artificial neural network architectures and both unsupervised and supervised learning methods are discussed. Although a step...
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DOI: https://doi.org/10.4018/978-1-5225-7368-5.ch004
Gavin Taylor • John Wiley & Sons, Inc. eBooks
(1996)
From the Publisher:
The chapters in this volume are an indication of the vigour and strength of the subject of neural networks in solving hard problems. They also indicate how the subject is giving new insights and developing new relations...
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Subana Shanmuganathan, Sandhya Samarasinghe • Studies in computational intelligence
(2016)
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DOI: https://doi.org/10.1007/978-3-319-28495-8
Diego Andina, Antonio Vega-Corona, Juan Seijas, Martín Javier Alarcón Mondéjar • Springer eBooks
(2007)
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DOI: https://doi.org/10.1007/0-387-37452-3_4
James Cannady (1998)
Misuse detection is the process of attempting to identify instances of network attacks by comparing current activity against the expected actions of an intruder. Most current approaches to misuse detection involve the use of rule-based expe...
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Eros Gian Alessandro Pasero, Simone Bassis, Anna Aurelia Esposito, Francesco Carlo Morabito et al. • Smart innovation, systems and technologies
(2016)
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DOI: https://doi.org/10.1007/978-3-319-33747-0
Osama Moselhi, Tarek Hegazy, Paul Fazio • Journal of Construction Engineering and Management
(1991)
The competitive and risk‐averse nature of the construction industry and its heuristic problem‐solving needs, among other reasons, have contributed to the development of nontraditional decision‐making tools. Research in artificial intelligen...
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DOI: https://doi.org/10.1061/(asce)0733-9364(1991)117:4(606)
Makarand Chintamani Deo, A. Jha, A.S. Chaphekar, K. Ravikant • Ocean Engineering
(2001)
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DOI: https://doi.org/10.1016/s0029-8018(00)00027-5
Enzo Grossi, Massimo Buscema • European Journal of Gastroenterology & Hepatology
(2007)
The coupling of computer science and theoretical bases such as nonlinear dynamics and chaos theory allows the creation of 'intelligent' agents, such as artificial neural networks (ANNs), able to adapt themselves dynamically to problems of h...
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DOI: https://doi.org/10.1097/meg.0b013e3282f198a0
José M. Benítez, Juan Luis Castro, Ignacio Requena • IEEE Transactions on Neural Networks
(1997)
Artificial neural networks are efficient computing models which have shown their strengths in solving hard problems in artificial intelligence. They have also been shown to be universal approximators. Notwithstanding, one of the major criti...
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DOI: https://doi.org/10.1109/72.623216
Michael Chester • Prentice-Hall, Inc eBooks
(1993)
1. A Structure of an Artificial Neural Network. 2. Applications of Neural Networks. 3. The Early Years. 4. The Hopfield Net. 5. Self Organizing Maps. 6. Backpropagation. 7. Learning Laws and Continued Taxonomy. 8. Adaptive Resonance Theory....
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Roheen Qamar, Baqar Ali Zardari • Mesopotamian Journal of Computer Science
(2023)
Neural networks, also known as artificial neural networks (ANNs) or artificially generated neural networks (SNNs) are a subset of machine learning that provide the foundation of deep learning techniques. Their name and form are inspired by ...
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DOI: https://doi.org/10.58496/mjcsc/2023/015
Zhi‐Hua Zhou • Journal of Computer Science and Technology
(2004)
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DOI: https://doi.org/10.1007/bf02944803
• Control Engineering Practice
(1994)
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DOI: https://doi.org/10.1016/0967-0661(94)90338-7
(1995)
A general introduction to the subject of artificial neural networks is given and the tenuous relationship of neural networks to the biological neuron structure of the brain is also briefly outlined. The development of artificial neural netw...
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DOI: https://doi.org/10.1109/etd.1995.403491
Amey Thakur • International Journal for Research in Applied Science and Engineering Technology
(2021)
The purpose of this study is to familiarise the reader with the foundations of neural networks. Artificial Neural Networks (ANNs) are algorithm-based systems that are modelled after Biological Neural Networks (BNNs). Neural networks are an ...
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Open Access
DOI: https://doi.org/10.22214/ijraset.2021.37362
• Advanced topics in science and technology in China
(2009)
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DOI: https://doi.org/10.1007/978-3-540-73762-9_2
Philip J Drew, Leonardo Bottaci, Graeme Scott Duthie, John R.T. Monson • The Lancet
(1997)
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DOI: https://doi.org/10.1016/s0140-6736(05)63820-2